{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UwC-_9kK37yN"
      },
      "source": [
        "### Introduction\n",
        "This notebook is designed to run inference on the [Diffuser](https://arxiv.org/abs/2205.09991) planning model for model-based RL. The notebook is modified from the authors' [original](https://colab.research.google.com/drive/1YajKhu-CUIGBJeQPehjVPJcK_b38a8Nc?usp=sharing#scrollTo=57hSzI4mCgat). For those new to reinforcement learning, consider checking out the HuggingFace [Reinforcement Learning Course](https://huggingface.co/blog/deep-rl-intro) for a primer.\n",
        "\n",
        "> Colab made by [Nathan Lambert](https://natolambert.com) and [Ben Glickenhaus](https://www.linkedin.com/in/benjamin-glickenhaus-859532a3).\n",
        "\n",
        "![diffusers_library](https://github.com/huggingface/diffusers/raw/main/docs/source/imgs/diffusers_library.jpg)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7Cy2P-c4XFTx"
      },
      "source": [
        "### Installing Packages"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Tj7eyweNapes"
      },
      "source": [
        "#### `apt-get install` requirements \n",
        "\n",
        "These requirements primarily pertain to install mujoco and run it in the colab.\n",
        "Source was inspired by this (fairly recent) [demo](https://colab.research.google.com/drive/1KGMZdRq6AemfcNscKjgpRzXqfhUtCf-V?usp=sharing)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "HKMZc5zvfoY1",
        "outputId": "c173b13e-98f2-48f1-92ef-dbad90d347c4"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "libglew-dev is already the newest version (2.0.0-5).\n",
            "libgl1-mesa-dev is already the newest version (20.0.8-0ubuntu1~18.04.1).\n",
            "libgl1-mesa-glx is already the newest version (20.0.8-0ubuntu1~18.04.1).\n",
            "libosmesa6-dev is already the newest version (20.0.8-0ubuntu1~18.04.1).\n",
            "software-properties-common is already the newest version (0.96.24.32.18).\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-460\n",
            "Use 'apt autoremove' to remove it.\n",
            "0 upgraded, 0 newly installed, 0 to remove and 27 not upgraded.\n",
            "Reading package lists... Done\n",
            "Building dependency tree       \n",
            "Reading state information... Done\n",
            "patchelf is already the newest version (0.9-1).\n",
            "The following package was automatically installed and is no longer required:\n",
            "  libnvidia-common-460\n",
            "Use 'apt autoremove' to remove it.\n",
            "0 upgraded, 0 newly installed, 0 to remove and 27 not upgraded.\n"
          ]
        }
      ],
      "source": [
        "# installations primiarly needed for Mujoco\n",
        "!apt-get install -y \\\n",
        "    libgl1-mesa-dev \\\n",
        "    libgl1-mesa-glx \\\n",
        "    libglew-dev \\\n",
        "    libosmesa6-dev \\\n",
        "    software-properties-common\n",
        "\n",
        "!apt-get install -y patchelf"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ppxv6Mdkalbc"
      },
      "source": [
        "#### Install Diffusers"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mgQA_XN-XGY2",
        "outputId": "e1a26091-ccc5-44c9-c9aa-0d51875114c9"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "/content\n",
            "Found existing installation: diffusers 0.5.0.dev0\n",
            "Uninstalling diffusers-0.5.0.dev0:\n",
            "  Successfully uninstalled diffusers-0.5.0.dev0\n",
            "Cloning into 'diffusers'...\n",
            "remote: Enumerating objects: 10356, done.\u001b[K\n",
            "remote: Counting objects: 100% (502/502), done.\u001b[K\n",
            "remote: Compressing objects: 100% (251/251), done.\u001b[K\n",
            "remote: Total 10356 (delta 277), reused 384 (delta 201), pack-reused 9854\u001b[K\n",
            "Receiving objects: 100% (10356/10356), 7.81 MiB | 17.77 MiB/s, done.\n",
            "Resolving deltas: 100% (6885/6885), done.\n",
            "\u001b[33m  DEPRECATION: A future pip version will change local packages to be built in-place without first copying to a temporary directory. We recommend you use --use-feature=in-tree-build to test your packages with this new behavior before it becomes the default.\n",
            "   pip 21.3 will remove support for this functionality. You can find discussion regarding this at https://github.com/pypa/pip/issues/7555.\u001b[0m\n",
            "  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
            "  Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
            "    Preparing wheel metadata ... \u001b[?25l\u001b[?25hdone\n",
            "  Building wheel for diffusers (PEP 517) ... \u001b[?25l\u001b[?25hdone\n"
          ]
        }
      ],
      "source": [
        "%cd /content\n",
        "\n",
        "# install latest HF diffusers\n",
        "!rm -rf /content/diffusers/\n",
        "!git clone -b rl https://github.com/huggingface/diffusers.git\n",
        "!pip install -q /content/diffusers \n",
        "!pip install -q datasets transformers "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "q4C1hwIAaeZQ"
      },
      "outputs": [],
      "source": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "3ILOcqnwhzrj"
      },
      "source": [
        "#### `pip install` requirements"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "x29OgI2uh8Iv",
        "outputId": "c9de1921-2978-47df-c5a3-fa8aa8fb8c20"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Looking in links: https://download.pytorch.org/whl/torch_stable.html\n",
            "Collecting git+https://github.com/rail-berkeley/d4rl.git\n",
            "  Cloning https://github.com/rail-berkeley/d4rl.git to /tmp/pip-req-build-7j2y8u6t\n",
            "  Running command git clone -q https://github.com/rail-berkeley/d4rl.git /tmp/pip-req-build-7j2y8u6t\n",
            "Requirement already satisfied: free-mujoco-py in /usr/local/lib/python3.7/dist-packages (2.1.6)\n",
            "Requirement already satisfied: einops in /usr/local/lib/python3.7/dist-packages (0.5.0)\n",
            "Requirement already satisfied: gym in /usr/local/lib/python3.7/dist-packages (0.24.1)\n",
            "Requirement already satisfied: protobuf==3.20.1 in /usr/local/lib/python3.7/dist-packages (3.20.1)\n",
            "Requirement already satisfied: mediapy in /usr/local/lib/python3.7/dist-packages (1.1.2)\n",
            "Requirement already satisfied: Pillow==9.0.0 in /usr/local/lib/python3.7/dist-packages (9.0.0)\n",
            "Collecting mjrl@ git+https://github.com/aravindr93/mjrl@master#egg=mjrl\n",
            "  Cloning https://github.com/aravindr93/mjrl (to revision master) to /tmp/pip-install-g98wzheg/mjrl_0abe064c9aa541e98742a70535434798\n",
            "  Running command git clone -q https://github.com/aravindr93/mjrl /tmp/pip-install-g98wzheg/mjrl_0abe064c9aa541e98742a70535434798\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.7/dist-packages (from D4RL==1.1) (1.21.6)\n",
            "Requirement already satisfied: mujoco_py in /usr/local/lib/python3.7/dist-packages (from D4RL==1.1) (2.1.2.14)\n",
            "Requirement already satisfied: pybullet in /usr/local/lib/python3.7/dist-packages (from D4RL==1.1) (3.2.5)\n",
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            "Requirement already satisfied: termcolor in /usr/local/lib/python3.7/dist-packages (from D4RL==1.1) (2.0.1)\n",
            "Requirement already satisfied: click in /usr/local/lib/python3.7/dist-packages (from D4RL==1.1) (7.1.2)\n",
            "Requirement already satisfied: dm_control>=1.0.3 in /usr/local/lib/python3.7/dist-packages (from D4RL==1.1) (1.0.8)\n",
            "Requirement already satisfied: gym-notices>=0.0.4 in /usr/local/lib/python3.7/dist-packages (from gym) (0.0.8)\n",
            "Requirement already satisfied: cloudpickle>=1.2.0 in /usr/local/lib/python3.7/dist-packages (from gym) (1.5.0)\n",
            "Requirement already satisfied: importlib-metadata>=4.8.0 in /usr/local/lib/python3.7/dist-packages (from gym) (4.13.0)\n",
            "Requirement already satisfied: absl-py>=0.7.0 in /usr/local/lib/python3.7/dist-packages (from dm_control>=1.0.3->D4RL==1.1) (1.3.0)\n",
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            "Requirement already satisfied: mujoco>=2.3.0 in /usr/local/lib/python3.7/dist-packages (from dm_control>=1.0.3->D4RL==1.1) (2.3.0)\n",
            "Requirement already satisfied: pyopengl>=3.1.4 in /usr/local/lib/python3.7/dist-packages (from dm_control>=1.0.3->D4RL==1.1) (3.1.6)\n",
            "Requirement already satisfied: scipy in /usr/local/lib/python3.7/dist-packages (from dm_control>=1.0.3->D4RL==1.1) (1.7.3)\n",
            "Requirement already satisfied: dm-tree!=0.1.2 in /usr/local/lib/python3.7/dist-packages (from dm_control>=1.0.3->D4RL==1.1) (0.1.7)\n",
            "Requirement already satisfied: glfw in /usr/local/lib/python3.7/dist-packages (from dm_control>=1.0.3->D4RL==1.1) (1.12.0)\n",
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            "Requirement already satisfied: labmaze in /usr/local/lib/python3.7/dist-packages (from dm_control>=1.0.3->D4RL==1.1) (1.0.5)\n",
            "Requirement already satisfied: setuptools!=50.0.0 in /usr/local/lib/python3.7/dist-packages (from dm_control>=1.0.3->D4RL==1.1) (57.4.0)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata>=4.8.0->gym) (3.9.0)\n",
            "Requirement already satisfied: typing-extensions>=3.6.4 in /usr/local/lib/python3.7/dist-packages (from importlib-metadata>=4.8.0->gym) (4.1.1)\n",
            "Requirement already satisfied: Cython<0.30.0,>=0.29.24 in /usr/local/lib/python3.7/dist-packages (from free-mujoco-py) (0.29.32)\n",
            "Requirement already satisfied: cffi<2.0.0,>=1.15.0 in /usr/local/lib/python3.7/dist-packages (from free-mujoco-py) (1.15.1)\n",
            "Requirement already satisfied: fasteners==0.15 in /usr/local/lib/python3.7/dist-packages (from free-mujoco-py) (0.15)\n",
            "Requirement already satisfied: imageio<3.0.0,>=2.9.0 in /usr/local/lib/python3.7/dist-packages (from free-mujoco-py) (2.9.0)\n",
            "Requirement already satisfied: monotonic>=0.1 in /usr/local/lib/python3.7/dist-packages (from fasteners==0.15->free-mujoco-py) (1.6)\n",
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            "Requirement already satisfied: pycparser in /usr/local/lib/python3.7/dist-packages (from cffi<2.0.0,>=1.15.0->free-mujoco-py) (2.21)\n",
            "Requirement already satisfied: matplotlib in /usr/local/lib/python3.7/dist-packages (from mediapy) (3.2.2)\n",
            "Requirement already satisfied: ipython in /usr/local/lib/python3.7/dist-packages (from mediapy) (7.9.0)\n",
            "Requirement already satisfied: cached-property in /usr/local/lib/python3.7/dist-packages (from h5py->D4RL==1.1) (1.5.2)\n",
            "Requirement already satisfied: traitlets>=4.2 in /usr/local/lib/python3.7/dist-packages (from ipython->mediapy) (5.1.1)\n",
            "Requirement already satisfied: pickleshare in /usr/local/lib/python3.7/dist-packages (from ipython->mediapy) (0.7.5)\n",
            "Requirement already satisfied: backcall in /usr/local/lib/python3.7/dist-packages (from ipython->mediapy) (0.2.0)\n",
            "Requirement already satisfied: jedi>=0.10 in /usr/local/lib/python3.7/dist-packages (from ipython->mediapy) (0.18.1)\n",
            "Requirement already satisfied: pexpect in /usr/local/lib/python3.7/dist-packages (from ipython->mediapy) (4.8.0)\n",
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            "Requirement already satisfied: decorator in /usr/local/lib/python3.7/dist-packages (from ipython->mediapy) (4.4.2)\n",
            "Requirement already satisfied: parso<0.9.0,>=0.8.0 in /usr/local/lib/python3.7/dist-packages (from jedi>=0.10->ipython->mediapy) (0.8.3)\n",
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            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.7/dist-packages (from matplotlib->mediapy) (0.11.0)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->mediapy) (2.8.2)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.7/dist-packages (from matplotlib->mediapy) (1.4.4)\n",
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            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.7/dist-packages (from requests->dm_control>=1.0.3->D4RL==1.1) (2.10)\n",
            "Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.7/dist-packages (from requests->dm_control>=1.0.3->D4RL==1.1) (3.0.4)\n",
            "Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.7/dist-packages (from requests->dm_control>=1.0.3->D4RL==1.1) (1.25.11)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.7/dist-packages (from requests->dm_control>=1.0.3->D4RL==1.1) (2022.9.24)\n"
          ]
        }
      ],
      "source": [
        "# primarily RL-sepcific requirements\n",
        "%pip install -f https://download.pytorch.org/whl/torch_stable.html \\\n",
        "                free-mujoco-py \\\n",
        "                einops \\\n",
        "                gym==0.24.1 \\\n",
        "                protobuf==3.20.1 \\\n",
        "                git+https://github.com/rail-berkeley/d4rl.git \\\n",
        "                mediapy \\\n",
        "                Pillow==9.0.0 \n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7OkjKjMPfSZR"
      },
      "source": [
        "#### Import D4RL to initialize Mujoco\n",
        "[Mujoco](https://github.com/deepmind/mujoco) is a physics simulator used extensively in reinforcement learning research. Here, we import [D4RL](https://github.com/rail-berkeley/d4rl) (a library of datasets and environments for Offline RL), which results in the building of Mujoco."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rFVGxWIuVj5F",
        "outputId": "6a641f6a-e51e-4a79-e5e0-1d3937ea1ed8"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "Warning: Gym version v0.24.1 has a number of critical issues with `gym.make` such that environment observation and action spaces are incorrectly evaluated, raising incorrect errors and warning . It is recommend to downgrading to v0.23.1 or upgrading to v0.25.1\n",
            "Warning: Flow failed to import. Set the environment variable D4RL_SUPPRESS_IMPORT_ERROR=1 to suppress this message.\n",
            "No module named 'flow'\n",
            "Warning: CARLA failed to import. Set the environment variable D4RL_SUPPRESS_IMPORT_ERROR=1 to suppress this message.\n",
            "No module named 'carla'\n",
            "/usr/local/lib/python3.7/dist-packages/gym/envs/registration.py:416: UserWarning: \u001b[33mWARN: The `registry.env_specs` property along with `EnvSpecTree` is deprecated. Please use `registry` directly as a dictionary instead.\u001b[0m\n",
            "  \"The `registry.env_specs` property along with `EnvSpecTree` is deprecated. Please use `registry` directly as a dictionary instead.\"\n"
          ]
        }
      ],
      "source": [
        "## cythonize mujoco-py at first import\n",
        "import d4rl"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "e3fx2pZrgIu3"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0qKnJbCXssgw"
      },
      "source": [
        "### Environment & Model Setup\n",
        "In this section, we will create the environment, handle the data, and run the diffusion model."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "R0CRaEtNVq8C"
      },
      "source": [
        "#### Imports\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "MDTifo67l-zN"
      },
      "outputs": [],
      "source": [
        "import torch\n",
        "import tqdm\n",
        "import numpy as np\n",
        "import gym "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8Wtw1hYkgqCR"
      },
      "source": [
        "#### Create environment\n",
        "This colab is designed to run with pretrained models from the hopper environment. As more models are trained, this can be extended.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "FKpK2gz1gvpn",
        "outputId": "7e5a38c6-fe81-4e77-d6b5-837ed909ad50"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/gym/envs/mujoco/mujoco_env.py:47: UserWarning: \u001b[33mWARN: This version of the mujoco environments depends on the mujoco-py bindings, which are no longer maintained and may stop working. Please upgrade to the v4 versions of the environments (which depend on the mujoco python bindings instead), unless you are trying to precisely replicate previous works).\u001b[0m\n",
            "  \"This version of the mujoco environments depends \"\n",
            "/usr/local/lib/python3.7/dist-packages/gym/spaces/box.py:112: UserWarning: \u001b[33mWARN: Box bound precision lowered by casting to float32\u001b[0m\n",
            "  logger.warn(f\"Box bound precision lowered by casting to {self.dtype}\")\n",
            "/usr/local/lib/python3.7/dist-packages/gym/utils/passive_env_checker.py:70: UserWarning: \u001b[33mWARN: Agent's minimum action space value is -infinity. This is probably too low.\u001b[0m\n",
            "  \"Agent's minimum action space value is -infinity. This is probably too low.\"\n",
            "/usr/local/lib/python3.7/dist-packages/gym/utils/passive_env_checker.py:74: UserWarning: \u001b[33mWARN: Agent's maximum action space value is infinity. This is probably too high\u001b[0m\n",
            "  \"Agent's maximum action space value is infinity. This is probably too high\"\n",
            "/usr/local/lib/python3.7/dist-packages/gym/utils/passive_env_checker.py:98: UserWarning: \u001b[33mWARN: We recommend you to use a symmetric and normalized Box action space (range=[-1, 1]) https://stable-baselines3.readthedocs.io/en/master/guide/rl_tips.html\u001b[0m\n",
            "  \"We recommend you to use a symmetric and normalized Box action space (range=[-1, 1]) \"\n",
            "load datafile:  19%|█▉        | 4/21 [00:00<00:03,  5.38it/s]/usr/local/lib/python3.7/dist-packages/h5py/_hl/dataset.py:767: DeprecationWarning: Passing None into shape arguments as an alias for () is deprecated.\n",
            "  arr = numpy.ndarray(selection.mshape, dtype=new_dtype)\n",
            "load datafile: 100%|██████████| 21/21 [00:01<00:00, 15.70it/s]\n"
          ]
        }
      ],
      "source": [
        "env_name = \"hopper-medium-v2\"\n",
        "env = gym.make(env_name)\n",
        "data = env.get_dataset() # dataset is only used for normalization in this colab"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "wWAyYOvIgzQH"
      },
      "source": [
        "#### Define constants"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "5UORiIwOg2XK"
      },
      "outputs": [],
      "source": [
        "# Cuda settings for colab\n",
        "torch.cuda.get_device_name(0)\n",
        "DEVICE = 'cuda:0'\n",
        "DTYPE = torch.float\n",
        "\n",
        "# diffusion model settings\n",
        "n_samples = 4   # number of trajectories planned via diffusion\n",
        "horizon = 128   # length of sampled trajectories\n",
        "state_dim = env.observation_space.shape[0] \n",
        "action_dim = env.action_space.shape[0]\n",
        "num_inference_steps = 20 # number of difusion steps"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Vxe7lRYApfqb"
      },
      "source": [
        "#### Helper functions\n",
        "* `normalize` scales the state values corresponding to the training data-set in D4RL,\n",
        "* `de_normalize` unscales the data for correct rendering,\n",
        "* `to_torch` handles casting to torch for both numpy arrays and dicts (used for conditionning the model, see `reset_x0`)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qGCapQB_l8ph"
      },
      "outputs": [],
      "source": [
        "def normalize(x_in, data, key):\n",
        "    means = data[key].mean(axis=0)\n",
        "    stds = data[key].std(axis=0)\n",
        "    return (x_in - means) / stds\n",
        "\n",
        "\n",
        "def de_normalize(x_in, data, key):\n",
        "    means = data[key].mean(axis=0)\n",
        "    stds = data[key].std(axis=0)\n",
        "    return x_in * stds + means\n",
        "\t\n",
        "def to_torch(x_in, dtype=None, device=None):\n",
        "\tdtype = dtype or DTYPE\n",
        "\tdevice = device or DEVICE\n",
        "\tif type(x_in) is dict:\n",
        "\t\treturn {k: to_torch(v, dtype, device) for k, v in x_in.items()}\n",
        "\telif torch.is_tensor(x_in):\n",
        "\t\treturn x_in.to(device).type(dtype)\n",
        "\treturn torch.tensor(x_in, dtype=dtype, device=device)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Bw2wObJOVt-l"
      },
      "source": [
        "#### Sample env. initial state"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "t9VdEBJLlOAA"
      },
      "outputs": [],
      "source": [
        "## Can set environment seed for debugging\n",
        "# torch.manual_seed(0)\n",
        "# np.random.seed(0)\n",
        "# env.seed(1996)\n",
        "\n",
        "obs = env.reset()\n",
        "obs_raw = obs\n",
        "\n",
        "# normalize observations for forward passes\n",
        "obs = normalize(obs, data, 'observations')"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "77DJISGlhAom"
      },
      "source": [
        "### Run the Diffusion Process -- from Scratch"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "sKWZhFGY9LYn"
      },
      "source": [
        "#### Initialize model\n",
        "In this section, we create a scheduler and load a pretrained model from the Hub. An important detail in the RL application space is to save `conditions` which will allow the model to optimize trajectories only from the current state (which is cruical to making decisions!). "
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "4z78D4ikh1lm"
      },
      "outputs": [],
      "source": [
        "from diffusers import DDPMScheduler, UNet1DModel\n",
        "\n",
        "# Two generators for different parts of the diffusion loop to work in colab\n",
        "generator = torch.Generator(device='cuda')\n",
        "generator_cpu = torch.Generator(device='cpu')\n",
        "\n",
        "scheduler = DDPMScheduler(num_train_timesteps=100,beta_schedule=\"squaredcos_cap_v2\")\n",
        "\n",
        "# The horizion represents the length of trajectories used in training.\n",
        "network = UNet1DModel.from_pretrained(\"bglick13/hopper-medium-v2-value-function-hor32\", subfolder=\"unet\").to(device=DEVICE)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "yDdFDvWkh5iY"
      },
      "source": [
        "#### Planning helper function\n",
        "`reset_x0` is used to constrain the diffusion process to trajectories starting at the current state of the agent. \n",
        "Without this, the diffusion process would generate arbitrary high-reward trajectories, rather than trajectories beginning at the current state."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uh7x-zg7g_el"
      },
      "outputs": [],
      "source": [
        "def reset_x0(x_in, cond, act_dim):\n",
        "\tfor key, val in cond.items():\n",
        "\t\tx_in[:, key, act_dim:] = val.clone()\n",
        "\treturn x_in"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "4_L3i61niRMW"
      },
      "source": [
        "#### Setup for denoising\n",
        "`conditions` is the variable used to hold the first state of the planned trajectories to the current state (it is passed into `reset_x0`)."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "U2SkcJD49NNr"
      },
      "outputs": [],
      "source": [
        "## add a batch dimension and repeat for multiple samples\n",
        "## [ observation_dim ] --> [ n_samples x observation_dim ]\n",
        "obs = obs[None].repeat(n_samples, axis=0)\n",
        "conditions = {\n",
        "    0: to_torch(obs, device=DEVICE)\n",
        "  }\n",
        "\n",
        "# constants for inference\n",
        "batch_size = len(conditions[0])\n",
        "shape = (batch_size, horizon, state_dim+action_dim)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qjMfrIi8iTtJ"
      },
      "source": [
        "#### Sample initial noise"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "HIVNaHnaiYKR"
      },
      "outputs": [],
      "source": [
        "# sample random initial noise vector\n",
        "x1 = torch.randn(shape, device=DEVICE, generator=generator)\n",
        "\n",
        "# this model is conditioned from an initial state, so you will see this function\n",
        "#  multiple times to change the initial state of generated data to the state \n",
        "#  generated via env.reset() above or env.step() below\n",
        "x = reset_x0(x1, conditions, action_dim)\n",
        "\n",
        "# convert a np observation to torch for model forward pass\n",
        "x = to_torch(x)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "315o-PvOsXp_"
      },
      "source": [
        "#### Generate trajectories\n",
        "The diffusion process for trajectories has 4 central components:\n",
        "1. sampling an predicted original sample from the model (note that this model directly predicts the sample, rather than the error term `epsilon` used in many diffusion models),\n",
        "2. use the scheduler to predict the sample at the previous timestep,\n",
        "3. [optional] add posterior noise to the sample,\n",
        "4. condition the trajectory to constrain the initial state."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "llzMmLk227jK",
        "outputId": "457c55b3-2ab7-4b83-c077-88ee4cf54754"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "100%|██████████| 100/100 [00:01<00:00, 78.56it/s]\n"
          ]
        }
      ],
      "source": [
        "eta = 1.0 # noise factor for sampling reconstructed state\n",
        "\n",
        "# run the diffusion process\n",
        "# for i in tqdm.tqdm(reversed(range(num_inference_steps)), total=num_inference_steps):\n",
        "for i in tqdm.tqdm(scheduler.timesteps):\n",
        "\n",
        "    # create batch of timesteps to pass into model\n",
        "    timesteps = torch.full((batch_size,), i, device=DEVICE, dtype=torch.long)\n",
        "    \n",
        "    # 1. generate prediction from model\n",
        "    with torch.no_grad():\n",
        "      residual = network(x.permute(0, 2, 1), timesteps).sample\n",
        "      residual = residual.permute(0, 2, 1) # needed to match model params to original \n",
        "\n",
        "    # 2. use the model prediction to reconstruct an observation (de-noise)\n",
        "    obs_reconstruct = scheduler.step(residual, i, x, predict_epsilon=False)[\"prev_sample\"]\n",
        "\n",
        "    # 3. [optional] add posterior noise to the sample\n",
        "    if eta > 0:\n",
        "      noise = torch.randn(obs_reconstruct.shape, generator=generator_cpu).to(obs_reconstruct.device)\n",
        "      posterior_variance = scheduler._get_variance(i) # * noise\n",
        "      # no noise when t == 0\n",
        "      # NOTE: original implementation missing sqrt on posterior_variance\n",
        "      obs_reconstruct = obs_reconstruct + int(i>0) * (0.5 * posterior_variance) * eta* noise  # MJ had as log var, exponentiated\n",
        "\n",
        "    # 4. apply conditions to the trajectory\n",
        "    obs_reconstruct_postcond = reset_x0(obs_reconstruct, conditions, action_dim)\n",
        "    x = to_torch(obs_reconstruct_postcond)\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0Dwa7VabDMGP",
        "outputId": "df8f831b-109a-4c97-ce07-13cad4412bc7"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "torch.Size([4, 128, 14])"
            ]
          },
          "execution_count": 29,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "x.shape"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "nkfuBJDTigOE"
      },
      "source": [
        "\n",
        "\n",
        "---\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OhHZC48kVxGM"
      },
      "source": [
        "### Render the samples"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "g4wYTq74pGCY"
      },
      "source": [
        "#### Renderering Tools\n",
        "Rendering from Mujoco is historically not easy. Here is a modified version from the original paper. Additionally, a TODO is to investigate this web-based [viewer](https://github.com/kevinzakka/mjc_viewer)."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "D7FxIwtopERr"
      },
      "source": [
        "##### Video helpers"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "3g8N_n8VRLPs"
      },
      "outputs": [],
      "source": [
        "import os\n",
        "import mediapy as media\n",
        "\n",
        "def to_np(x_in):\n",
        "\tif torch.is_tensor(x_in):\n",
        "\t\tx_in = x_in.detach().cpu().numpy()\n",
        "\treturn x_in\n",
        "\n",
        "# from MJ's Diffuser code \n",
        "# https://github.com/jannerm/diffuser/blob/76ae49ae85ba1c833bf78438faffdc63b8b4d55d/diffuser/utils/colab.py#L79\n",
        "def mkdir(savepath):\n",
        "    \"\"\"\n",
        "        returns `True` iff `savepath` is created\n",
        "    \"\"\"\n",
        "    if not os.path.exists(savepath):\n",
        "        os.makedirs(savepath)\n",
        "        return True\n",
        "    else:\n",
        "        return False\n",
        "\n",
        "\n",
        "def show_sample(renderer, observations, filename='sample.mp4', savebase='/content/videos'):\n",
        "    '''\n",
        "    observations : [ batch_size x horizon x observation_dim ]\n",
        "    '''\n",
        "\n",
        "    mkdir(savebase)\n",
        "    savepath = os.path.join(savebase, filename)\n",
        "\n",
        "    images = []\n",
        "    for rollout in observations:\n",
        "        ## [ horizon x height x width x channels ]\n",
        "        img = renderer._renders(rollout, partial=True)\n",
        "        images.append(img)\n",
        "\n",
        "    ## [ horizon x height x (batch_size * width) x channels ]\n",
        "    images = np.concatenate(images, axis=2)\n",
        "\n",
        "    media.show_video(images, codec='h264', fps=60)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "RsvU93pIt26I"
      },
      "source": [
        "##### Renderer helpers\n",
        "These functions involve setting the state of the environment and reading it out in a pixel form."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Yg9JiztlpH1o"
      },
      "outputs": [],
      "source": [
        "# Code adapted from Michael Janner\n",
        "# source: https://github.com/jannerm/diffuser/blob/main/diffuser/utils/rendering.py\n",
        "import mujoco_py as mjc\n",
        "\n",
        "def env_map(env_name):\n",
        "    '''\n",
        "        map D4RL dataset names to custom fully-observed\n",
        "        variants for rendering\n",
        "    '''\n",
        "    if 'halfcheetah' in env_name:\n",
        "        return 'HalfCheetahFullObs-v2'\n",
        "    elif 'hopper' in env_name:\n",
        "        return 'HopperFullObs-v2'\n",
        "    elif 'walker2d' in env_name:\n",
        "        return 'Walker2dFullObs-v2'\n",
        "    else:\n",
        "        return env_name\n",
        "\n",
        "def get_image_mask(img):\n",
        "    background = (img == 255).all(axis=-1, keepdims=True)\n",
        "    mask = ~background.repeat(3, axis=-1)\n",
        "    return mask\n",
        "\n",
        "def atmost_2d(x):\n",
        "    while x.ndim > 2:\n",
        "        x = x.squeeze(0)\n",
        "    return x\n",
        "\n",
        "def set_state(env, state):\n",
        "    qpos_dim = env.sim.data.qpos.size\n",
        "    qvel_dim = env.sim.data.qvel.size\n",
        "    if not state.size == qpos_dim + qvel_dim:\n",
        "        warnings.warn(\n",
        "            f'[ utils/rendering ] Expected state of size {qpos_dim + qvel_dim}, '\n",
        "            f'but got state of size {state.size}')\n",
        "        state = state[:qpos_dim + qvel_dim]\n",
        "\n",
        "    env.set_state(state[:qpos_dim], state[qpos_dim:])\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hbjK273Yt7AD"
      },
      "source": [
        "##### Rendering class\n",
        "Use the previously defined helpers to programatically render pixel sequences from a trajectory of states. \n",
        "This class takes the re-scaled outputs of the diffusion process and visualizes them."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "s9iDg9oBt6aL"
      },
      "outputs": [],
      "source": [
        "class MuJoCoRenderer:\n",
        "    '''\n",
        "        default mujoco renderer\n",
        "    '''\n",
        "\n",
        "    def __init__(self, env):\n",
        "        if type(env) is str:\n",
        "            env = env_map(env)\n",
        "            self.env = gym.make(env)\n",
        "        else:\n",
        "            self.env = env\n",
        "        ## - 1 because the envs in renderer are fully-observed\n",
        "        ## @TODO : clean up\n",
        "        self.observation_dim = np.prod(self.env.observation_space.shape) - 1\n",
        "        self.action_dim = np.prod(self.env.action_space.shape)\n",
        "        try:\n",
        "            self.viewer = mjc.MjRenderContextOffscreen(self.env.sim)\n",
        "        except:\n",
        "            print('[ utils/rendering ] Warning: could not initialize offscreen renderer')\n",
        "            self.viewer = None\n",
        "\n",
        "    def pad_observation(self, observation):\n",
        "        state = np.concatenate([\n",
        "            np.zeros(1),\n",
        "            observation,\n",
        "        ])\n",
        "        return state\n",
        "\n",
        "    def pad_observations(self, observations):\n",
        "        qpos_dim = self.env.sim.data.qpos.size\n",
        "        ## xpos is hidden\n",
        "        xvel_dim = qpos_dim - 1\n",
        "        xvel = observations[:, xvel_dim]\n",
        "        xpos = np.cumsum(xvel) * self.env.dt\n",
        "        states = np.concatenate([\n",
        "            xpos[:,None],\n",
        "            observations,\n",
        "        ], axis=-1)\n",
        "        return states\n",
        "\n",
        "    def render(self, observation, dim=256, partial=False, qvel=True, render_kwargs=None, conditions=None):\n",
        "\n",
        "        if type(dim) == int:\n",
        "            dim = (dim, dim)\n",
        "\n",
        "        if self.viewer is None:\n",
        "            return np.zeros((*dim, 3), np.uint8)\n",
        "\n",
        "        if render_kwargs is None:\n",
        "            xpos = observation[0] if not partial else 0\n",
        "            render_kwargs = {\n",
        "                'trackbodyid': 2,\n",
        "                'distance': 3,\n",
        "                'lookat': [xpos, -0.5, 1],\n",
        "                'elevation': -20\n",
        "            }\n",
        "\n",
        "        for key, val in render_kwargs.items():\n",
        "            if key == 'lookat':\n",
        "                self.viewer.cam.lookat[:] = val[:]\n",
        "            else:\n",
        "                setattr(self.viewer.cam, key, val)\n",
        "\n",
        "        if partial:\n",
        "            state = self.pad_observation(observation)\n",
        "        else:\n",
        "            state = observation\n",
        "\n",
        "        qpos_dim = self.env.sim.data.qpos.size\n",
        "        if not qvel or state.shape[-1] == qpos_dim:\n",
        "            qvel_dim = self.env.sim.data.qvel.size\n",
        "            state = np.concatenate([state, np.zeros(qvel_dim)])\n",
        "\n",
        "        set_state(self.env, state)\n",
        "\n",
        "        self.viewer.render(*dim)\n",
        "        data = self.viewer.read_pixels(*dim, depth=False)\n",
        "        data = data[::-1, :, :]\n",
        "        return data\n",
        "\n",
        "    def _renders(self, observations, **kwargs):\n",
        "        images = []\n",
        "        for observation in observations:\n",
        "            img = self.render(observation, **kwargs)\n",
        "            images.append(img)\n",
        "        return np.stack(images, axis=0)\n",
        "\n",
        "    def renders(self, samples, partial=False, **kwargs):\n",
        "        if partial:\n",
        "            samples = self.pad_observations(samples)\n",
        "            partial = False\n",
        "\n",
        "        sample_images = self._renders(samples, partial=partial, **kwargs)\n",
        "\n",
        "        composite = np.ones_like(sample_images[0]) * 255\n",
        "\n",
        "        for img in sample_images:\n",
        "            mask = get_image_mask(img)\n",
        "            composite[mask] = img[mask]\n",
        "\n",
        "        return composite\n",
        "\n",
        "    def __call__(self, *args, **kwargs):\n",
        "        return self.renders(*args, **kwargs)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "qIjF7ToPp_f0"
      },
      "source": [
        "#### Show Plans\n",
        "This section renders 4 trajectories chosen from the same initial state in the environment."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MuLscSfUiYio"
      },
      "source": [
        "##### Initialize renderer class for the environment"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "Q0dgJHKJsBHl"
      },
      "outputs": [],
      "source": [
        "render = MuJoCoRenderer(env)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "f4pegV-iibvJ"
      },
      "source": [
        "##### Show the video\n",
        "Show the states generated by the diffusion model in the real environment. \n",
        "Not that the actions are dropped from the data."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "Kxhu-7PiHnuF",
        "outputId": "ead27e9d-7e45-4faa-c8ed-3e1848bc2f82"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
              "<table class=\"show_videos\" style=\"border-spacing:0px;\"><tr><td style=\"padding:1px;\"><video controls width=\"1024\" height=\"256\" style=\"object-fit:cover;\" loop autoplay>\n",
              "      <source 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type=\"video/mp4\"/>\n",
              "      This browser does not support the video tag.\n",
              "      </video></td></tr></table>"
            ],
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "de_normalized = de_normalize(to_np(x[:,:,action_dim:]), data, 'observations')\n",
        "show_sample(render, de_normalized)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Eub5xlfTd0zm"
      },
      "source": [
        "# Run Value Guided Diffusion -- with Pipeline\n",
        "\n",
        "In this section, we repeat the above code, but we use a pre-trained pipeline in Diffusers!"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0vXxDa-gd4fc"
      },
      "outputs": [],
      "source": [
        "from diffusers import ValueGuidedRLPipeline"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hfkHRFNndapS",
        "outputId": "8b5861de-9a1d-4ba6-f042-32491456e53a"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/gym/envs/mujoco/mujoco_env.py:47: UserWarning: \u001b[33mWARN: This version of the mujoco environments depends on the mujoco-py bindings, which are no longer maintained and may stop working. Please upgrade to the v4 versions of the environments (which depend on the mujoco python bindings instead), unless you are trying to precisely replicate previous works).\u001b[0m\n",
            "  \"This version of the mujoco environments depends \"\n",
            "/usr/local/lib/python3.7/dist-packages/gym/spaces/box.py:112: UserWarning: \u001b[33mWARN: Box bound precision lowered by casting to float32\u001b[0m\n",
            "  logger.warn(f\"Box bound precision lowered by casting to {self.dtype}\")\n",
            "/usr/local/lib/python3.7/dist-packages/gym/utils/passive_env_checker.py:70: UserWarning: \u001b[33mWARN: Agent's minimum action space value is -infinity. This is probably too low.\u001b[0m\n",
            "  \"Agent's minimum action space value is -infinity. This is probably too low.\"\n",
            "/usr/local/lib/python3.7/dist-packages/gym/utils/passive_env_checker.py:74: UserWarning: \u001b[33mWARN: Agent's maximum action space value is infinity. This is probably too high\u001b[0m\n",
            "  \"Agent's maximum action space value is infinity. This is probably too high\"\n",
            "/usr/local/lib/python3.7/dist-packages/gym/utils/passive_env_checker.py:98: UserWarning: \u001b[33mWARN: We recommend you to use a symmetric and normalized Box action space (range=[-1, 1]) https://stable-baselines3.readthedocs.io/en/master/guide/rl_tips.html\u001b[0m\n",
            "  \"We recommend you to use a symmetric and normalized Box action space (range=[-1, 1]) \"\n",
            "load datafile:  19%|█▉        | 4/21 [00:00<00:03,  5.16it/s]/usr/local/lib/python3.7/dist-packages/h5py/_hl/dataset.py:767: DeprecationWarning: Passing None into shape arguments as an alias for () is deprecated.\n",
            "  arr = numpy.ndarray(selection.mshape, dtype=new_dtype)\n",
            "load datafile: 100%|██████████| 21/21 [00:01<00:00, 15.05it/s]\n"
          ]
        }
      ],
      "source": [
        "env_name = \"hopper-medium-v2\"\n",
        "env = gym.make(env_name)\n",
        "data = env.get_dataset()  # dataset is only used for normalization in this colab\n",
        "render = MuJoCoRenderer(env)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "NcLN2M-CdjNR"
      },
      "outputs": [],
      "source": [
        "state_dim = env.observation_space.shape[0]\n",
        "action_dim = env.action_space.shape[0]\n",
        "DEVICE = \"cuda\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "EZwHD83YY_XN"
      },
      "source": [
        "Load the pipeline!"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 103,
          "referenced_widgets": [
            "f6fee88020804250a48a1ee45806d7be",
            "c52a439ef13d48b1b0f9e00b2696ea52",
            "e937d5d11ec244deb19a681d9aafbbfd",
            "5688c1ab38ef440180cc5309cb54b5d6",
            "a918d6b301354c7a89aecd3523e77359",
            "2f4d8c9b7bd544899531c4d36d62dd3e",
            "1dc28c75e7f047a7b9baf4cba0276757",
            "6558ad009b92422493ddcd3b46f3d089",
            "a1c4efdd3e494a269b25b03e5e99d6fe",
            "c977bec486204045867bc56a59b59620",
            "e37678f1a748493cacfed2cb8d5fc0cb"
          ]
        },
        "id": "oRlo8Z841uBW",
        "outputId": "04a00750-1058-4158-fe56-af78b8eefafc"
      },
      "outputs": [
        {
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f6fee88020804250a48a1ee45806d7be",
              "version_major": 2,
              "version_minor": 0
            },
            "text/plain": [
              "Fetching 11 files:   0%|          | 0/11 [00:00<?, ?it/s]"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "The config attributes {'args': ['diffusers', 'DDPMScheduler'], 'kwargs': ['diffusers', 'PNDMScheduler']} were passed to ValueGuidedDiffuserPipeline, but are not expected and will be ignored. Please verify your model_index.json configuration file.\n",
            "load datafile: 100%|██████████| 21/21 [00:01<00:00, 13.65it/s]\n"
          ]
        }
      ],
      "source": [
        "pipeline = ValueGuidedRLPipeline.from_pretrained(\n",
        "        \"bglick13/hopper-medium-v2-value-function-hor32\",\n",
        "        env=env,\n",
        "    )"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dURzvQ5JeYGn",
        "outputId": "093394bf-7819-430b-c96d-65f8e6ca009d"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/gym/core.py:201: DeprecationWarning: \u001b[33mWARN: Function `env.seed(seed)` is marked as deprecated and will be removed in the future. Please use `env.reset(seed=seed)` instead.\u001b[0m\n",
            "  \"Function `env.seed(seed)` is marked as deprecated and will be removed in the future. \"\n",
            "/usr/local/lib/python3.7/dist-packages/gym/utils/passive_env_checker.py:217: UserWarning: \u001b[33mWARN: Future gym versions will require that `Env.reset` can be passed a `seed` instead of using `Env.seed` for resetting the environment random number generator. \u001b[0m\n",
            "  \"Future gym versions will require that `Env.reset` can be passed a `seed` instead of using `Env.seed` for resetting the environment random number generator. \"\n",
            "/usr/local/lib/python3.7/dist-packages/gym/utils/passive_env_checker.py:229: UserWarning: \u001b[33mWARN: Future gym versions will require that `Env.reset` can be passed `return_info` to return information from the environment resetting.\u001b[0m\n",
            "  \"Future gym versions will require that `Env.reset` can be passed `return_info` to return information from the environment resetting.\"\n",
            "/usr/local/lib/python3.7/dist-packages/gym/utils/passive_env_checker.py:234: UserWarning: \u001b[33mWARN: Future gym versions will require that `Env.reset` can be passed `options` to allow the environment initialisation to be passed additional information.\u001b[0m\n",
            "  \"Future gym versions will require that `Env.reset` can be passed `options` to allow the environment initialisation to be passed additional information.\"\n",
            "  0%|          | 0/100 [00:00<?, ?it/s]\n",
            "  0%|          | 0/20 [00:00<?, ?it/s]\u001b[A\n",
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          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Step: 95, Reward: 1.0759698500937362, Total Reward: 123.79313731420271, Score: 0.0439349502988255, Total Score: 2.5183042389618717\n"
          ]
        },
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          ]
        },
        {
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          "output_type": "stream",
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            "Step: 96, Reward: 1.3074041389557671, Total Reward: 125.10054145315847, Score: 0.044265552832510414, Total Score: 2.562569791794382\n"
          ]
        },
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          ]
        },
        {
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            "Step: 97, Reward: 1.6721521590810136, Total Reward: 126.77269361223948, Score: 0.04466726587386679, Total Score: 2.607237057668249\n"
          ]
        },
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        },
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            "Step: 98, Reward: 1.75613883059031, Total Reward: 128.52883244282978, Score: 0.04518105140461443, Total Score: 2.652418109072863\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
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          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Step: 99, Reward: 1.7563279535050194, Total Reward: 130.2851603963348, Score: 0.045720642682980664, Total Score: 2.698138751755844\n"
          ]
        },
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "\n"
          ]
        }
      ],
      "source": [
        "env.seed(0)\n",
        "obs = env.reset()\n",
        "total_reward = 0\n",
        "total_score = 0\n",
        "T = 100\n",
        "rollout = [obs.copy()]\n",
        "trajectories = []\n",
        "y_maxes = [0]\n",
        "for t in tqdm.tqdm(range(T)):\n",
        "    # normalize observations for forward passes\n",
        "    denorm_actions = pipeline(obs, planning_horizon=32)\n",
        "\n",
        "    # execute action in environment\n",
        "    next_observation, reward, terminal, _ = env.step(denorm_actions)\n",
        "    score = env.get_normalized_score(total_reward)\n",
        "    \n",
        "    # update return\n",
        "    total_reward += reward\n",
        "    total_score += score\n",
        "    print(\n",
        "        f\"Step: {t}, Reward: {reward}, Total Reward: {total_reward}, Score: {score}, Total Score:\"\n",
        "        f\" {total_score}\"\n",
        "    )\n",
        "    # save observations for rendering\n",
        "    rollout.append(next_observation.copy())\n",
        "\n",
        "    obs = next_observation\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 279
        },
        "id": "XbA2izgSfDW8",
        "outputId": "8dfc9499-443b-42de-e1eb-f0e28ad4f278"
      },
      "outputs": [
        {
          "data": {
            "text/html": [
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